Triple

T7189890
Position Surface form Disambiguated ID Type / Status
Subject Manchester Gay Village E167662 entity
Predicate hasVenue P373 FINISHED
Object Via
Via is a popular bar and nightclub located in Manchester’s Gay Village, known for its lively atmosphere and LGBTQ+ friendly environment.
 E647045 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Via | Statement: [Manchester Gay Village, hasVenue, Via]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Via
Context triple: [Manchester Gay Village, hasVenue, Via]
  • A. Via
    Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
  • B. Vias
    Vias is a coastal commune in southern France’s Hérault department, known for its Mediterranean beaches and proximity to the Canal du Midi.
  • C. VIAM
    VIAM is the ICAO airport code for Ambala Air Force Station, a major Indian Air Force base located in Ambala, Haryana, India.
  • D. VIAG
    VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
  • E. VIAR
    VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Via
Triple: [Manchester Gay Village, hasVenue, Via]
Generated description
Via is a popular bar and nightclub located in Manchester’s Gay Village, known for its lively atmosphere and LGBTQ+ friendly environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Via
Target entity description: Via is a popular bar and nightclub located in Manchester’s Gay Village, known for its lively atmosphere and LGBTQ+ friendly environment.
  • A. Via
    Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
  • B. Vias
    Vias is a coastal commune in southern France’s Hérault department, known for its Mediterranean beaches and proximity to the Canal du Midi.
  • C. VIAM
    VIAM is the ICAO airport code for Ambala Air Force Station, a major Indian Air Force base located in Ambala, Haryana, India.
  • D. VIAG
    VIAG is the ICAO airport code for Agra Airport, a public and military airfield serving the city of Agra in Uttar Pradesh, India.
  • E. VIAR
    VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ff1ad0819094761f8c73e3e986 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b95c671c8190bf75b5807c6c320c completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9d4d9e081908abc7841371c291b completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba7c7ac88190b16ba217cdc12325 completed March 28, 2026, 11:24 a.m.
Created at: March 27, 2026, 2:50 p.m.